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Bing, L and Tiong, R L K (1999) Risk Management Model for International Construction Joint Ventures. Journal of Construction Engineering and Management, 125(05), 377–84.

Conley, M A and Gregory, R A (1999) Partnering on Small Construction Projects. Journal of Construction Engineering and Management, 125(05), 320–4.

Faniran, O O, Love, P E D and Li, H (1999) Optimal Allocation of Construction Planning Resources. Journal of Construction Engineering and Management, 125(05), 311–9.

Jahren, C T, Ellsworth, B J and Bergeson, K (1999) Constructability Test for Cold In-Place Asphalt Recycling. Journal of Construction Engineering and Management, 125(05), 325–9.

Karim, A and Adeli, H (1999) CONSCOM: An OO Construction Scheduling and Change Management System. Journal of Construction Engineering and Management, 125(05), 368–76.

Karim, A and Adeli, H (1999) OO Information Model for Construction Project Management. Journal of Construction Engineering and Management, 125(05), 361–7.

Lee, H and Yi, K J (1999) Application of Mathematical Matrix to Integrate Project Schedule and Cost. Journal of Construction Engineering and Management, 125(05), 339–46.

Li, H, Cao, J and Love, P E D (1999) Using Machine Learning and GA to Solve Time-Cost Trade-Off Problems. Journal of Construction Engineering and Management, 125(05), 347–53.

Mitropoulos, P and Tatum, C B (1999) Technology Adoption Decisions in Construction Organizations. Journal of Construction Engineering and Management, 125(05), 330–8.

Shi, J J (1999) Activity-Based Construction (ABC) Modeling and Simulation Method. Journal of Construction Engineering and Management, 125(05), 354–60.

Thomas, H R and Završki, I (1999) Construction Baseline Productivity: Theory and Practice. Journal of Construction Engineering and Management, 125(05), 295–303.

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(1999)125:5(295)
  • Abstract:
    In this paper, the theoretical basis for construction labor productivity measurement is presented. In particular, the theoretical basis for baseline productivity measurements is developed by examining a productivity database consisting of 23 projects involving masonry construction. An important hypothesis is presented showing that as the design becomes more complex, the baseline productivity worsens. It is also hypothesized that higher values of the coefficient of variation indicates a higher variability in management and craft skills and in the use of technology. Two measures are proposed to measure the performance of individual projects: The disruption index and the project management index. These two measures identify the best and worst performing projects. Cumulative probability distributions of the disruption index and the project management index were also developed to evaluate the 23-project database and compare it with other databases. The hypotheses developed from the 23-masonry project database were tested against an 8-project database of concrete formwork and a 12-project database of structural steel erection. Strong support for each hypothesis was found using the two additional databases.

Tommelein, I D, Riley, D R and Howell, G A (1999) Parade Game: Impact of Work Flow Variability on Trade Performance. Journal of Construction Engineering and Management, 125(05), 304–10.